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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 12992
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    INDEX
    Explanations

    phrases related to self-improvement and achieving success

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating steps or processes toward achieving a goal

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     plaint
    -0.74
     urging
    -0.72
     raining
    -0.69
     draped
    -0.67
     interfered
    -0.67
     caveat
    -0.66
     reminding
    -0.66
     Gillespie
    -0.66
     wraps
    -0.65
     tomat
    -0.65
    POSITIVE LOGITS
    thood
    1.19
     adulthood
    1.08
    irtual
    0.96
     Mastery
    0.91
     careers
    0.86
     academ
    0.85
     Career
    0.85
     proficiency
    0.84
    anship
    0.83
    Lear
    0.83
    Activations Density 0.514%

    No Known Activations